Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2775-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2775-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 May 2018
Research article |
| 08 May 2018
| 08 May 2018
Comparison of MODIS and SWAT evapotranspiration over a complex terrain at different spatial scales
Olanrewaju O. Abiodun
CORRESPONDING AUTHOR
National Centre for Groundwater Research and Training, College of
Science and Engineering, Flinders University, Adelaide, South Australia, Australia
Huade Guan
National Centre for Groundwater Research and Training, College of
Science and Engineering, Flinders University, Adelaide, South Australia, Australia
Vincent E. A. Post
National Centre for Groundwater Research and Training, College of
Science and Engineering, Flinders University, Adelaide, South Australia, Australia
Okke Batelaan
National Centre for Groundwater Research and Training, College of
Science and Engineering, Flinders University, Adelaide, South Australia, Australia
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Olanrewaju Abiodun, Okke Batelaan, Huade Guan, and Jingfeng Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-70, https://doi.org/10.5194/essd-2019-70, 2019
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Evaporation, Transpiration, and Evapotranspiration Products for Australia based on the Maximum Entropy Production model (MEP). We produce each of these datasets over the entire Australia for the years 2003–2013 on daily timescales at the 5 km spatial resolution. The data have been tested across various land covers and regions of Australia where measured data is available. These products may be used for research, education and other relevant studies and/or analysis.
Xiong Xiao, Xinping Zhang, Zhuoyong Xiao, Zhongli Liu, Dizhou Wang, Cicheng Zhang, Zhiguo Rao, Xinguang He, and Huade Guan
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Our study reveals how water vapor, directed by seasonal winds, shapes precipitation isotopes in China's Dongting Lake Basin. We traced water vapor paths, showing their impact on water supply and climate. This insight is key for predicting future water resources and climate patterns, offering a clearer understanding of our interconnected environmental systems.
Georg J. Houben and Okke Batelaan
Hydrol. Earth Syst. Sci., 26, 4055–4091, https://doi.org/10.5194/hess-26-4055-2022, https://doi.org/10.5194/hess-26-4055-2022, 2022
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Unbeknown to most hydrologists, many methods used in groundwater hydrology today go back to work by Adolf and Günther Thiem. Their work goes beyond the Dupuit–Thiem analytical model for pump tests mentioned in many textbooks. It includes, e.g., the development and improvement of isopotential maps, tracer tests, and vertical well constructions. Extensive literature and archive research has been conducted to identify how and where the Thiems developed their methods and how they spread.
Brady A. Flinchum, Eddie Banks, Michael Hatch, Okke Batelaan, Luk J. M. Peeters, and Sylvain Pasquet
Hydrol. Earth Syst. Sci., 24, 4353–4368, https://doi.org/10.5194/hess-24-4353-2020, https://doi.org/10.5194/hess-24-4353-2020, 2020
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Identifying and quantifying recharge processes linked to ephemeral surface water features is challenging due to their episodic nature. We use a unique combination of well-established near-surface geophysical methods to provide evidence of a surface and groundwater connection in a flat, semi-arid region north of Adelaide, Australia. We show that a combined geophysical approach can provide a unique perspective that can help shape the hydrogeological conceptualization.
Ajiao Chen, Huade Guan, and Okke Batelaan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-400, https://doi.org/10.5194/hess-2020-400, 2020
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It is well-known that global measures for reducing emissions are essential in combating hot extremes. This study indicates that local moisture deficit dominates hot extreme occurrence in regions with a total area twice as large as dominated by increased atmospheric CO2 concentration during 1985–2015. It suggests that to mitigate hot extremes, important attention should also be directed to address the increasing moisture deficit in some regions.
Gabriel C. Rau, Vincent E. A. Post, Margaret Shanafield, Torsten Krekeler, Eddie W. Banks, and Philipp Blum
Hydrol. Earth Syst. Sci., 23, 3603–3629, https://doi.org/10.5194/hess-23-3603-2019, https://doi.org/10.5194/hess-23-3603-2019, 2019
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The flow of water is often inferred from water levels and gradients whose measurements are considered trivial despite the many steps and complexity of the instruments involved. We systematically review the four measurement steps required and summarise the systematic errors. To determine the accuracy with which flow can be resolved, we quantify and propagate the random errors. Our results illustrate the limitations of current practice and provide concise recommendations to improve data quality.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-70, https://doi.org/10.5194/essd-2019-70, 2019
Revised manuscript not accepted
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Evaporation, Transpiration, and Evapotranspiration Products for Australia based on the Maximum Entropy Production model (MEP). We produce each of these datasets over the entire Australia for the years 2003–2013 on daily timescales at the 5 km spatial resolution. The data have been tested across various land covers and regions of Australia where measured data is available. These products may be used for research, education and other relevant studies and/or analysis.
Eddie W. Banks, Margaret A. Shanafield, Saskia Noorduijn, James McCallum, Jörg Lewandowski, and Okke Batelaan
Hydrol. Earth Syst. Sci., 22, 1917–1929, https://doi.org/10.5194/hess-22-1917-2018, https://doi.org/10.5194/hess-22-1917-2018, 2018
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This study used a portable 56-sensor, 3-D temperature array with three heat pulse sources to measure the flow direction and magnitude below the water–sediment interface. Breakthrough curves from each of the sensors were analyzed using a heat transport equation. The use of short-duration heat pulses provided a rapid, accurate assessment technique for determining dynamic and multi-directional flow patterns in the hyporheic zone and is a basis for improved understanding of biogeochemical processes.
Etienne Bresciani, Roger H. Cranswick, Eddie W. Banks, Jordi Batlle-Aguilar, Peter G. Cook, and Okke Batelaan
Hydrol. Earth Syst. Sci., 22, 1629–1648, https://doi.org/10.5194/hess-22-1629-2018, https://doi.org/10.5194/hess-22-1629-2018, 2018
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This article tackles the problem of finding the origin of groundwater in basin aquifers adjacent to mountains. In particular, we aim to determine whether the recharge occurs predominantly through stream infiltration along the mountain front or through subsurface flow from the mountain. To this end, we discuss the use of routinely measured variables: hydraulic head, chloride and electrical conductivity. A case study from Australia demonstrates the approach.
Robert L. Andrew, Huade Guan, and Okke Batelaan
Hydrol. Earth Syst. Sci., 21, 4469–4478, https://doi.org/10.5194/hess-21-4469-2017, https://doi.org/10.5194/hess-21-4469-2017, 2017
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In this study we statistically analyse the relationship between vegetation cover and components of total water storage. Splitting water storage into different components allows for a more comprehensive understanding of the temporal response of vegetation to changes in water storage. Generally, vegetation appears to be more sensitive to interannual changes in water storage than to shorter changes, though this varies in different land use types.
T. Berezowski, J. Nossent, J. Chormański, and O. Batelaan
Hydrol. Earth Syst. Sci., 19, 1887–1904, https://doi.org/10.5194/hess-19-1887-2015, https://doi.org/10.5194/hess-19-1887-2015, 2015
B. Rogiers, K. Beerten, T. Smeekens, D. Mallants, M. Gedeon, M. Huysmans, O. Batelaan, and A. Dassargues
Hydrol. Earth Syst. Sci., 17, 5155–5166, https://doi.org/10.5194/hess-17-5155-2013, https://doi.org/10.5194/hess-17-5155-2013, 2013
M. Gokmen, Z. Vekerdy, W. Verhoef, and O. Batelaan
Hydrol. Earth Syst. Sci., 17, 3779–3794, https://doi.org/10.5194/hess-17-3779-2013, https://doi.org/10.5194/hess-17-3779-2013, 2013
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Circumarctic land cover diversity considering wetness gradients
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Wetness gradients and landcover diversity for the entire Arctic tundra have been assessed using a novel satellite-data-based map. Patterns of lakes, wetlands, general soil moisture conditions and vegetation physiognomy are represented at 10 m. About 40 % of the area north of the treeline falls into three units of dry types, with limited shrub growth. Wetter regions have higher landcover diversity than drier regions.
Italo Sampaio Rodrigues, Christopher Hopkinson, Laura Chasmer, Ryan J. MacDonald, Suzanne E. Bayley, and Brian Brisco
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The research evaluated the trends and changes in land cover and river discharge in the Upper Columbia River Wetlands using remote sensing and hydroclimatic data. The river discharge increased during the peak flow season, resulting in a positive trend in the open-water extent in the same period, whereas open-water area declined on an annual basis. Furthermore, since 2003 the peak flow has occurred 11 d earlier than during 1903–1928, which has led to larger discharges in a shorter time.
Matthias Forkel, Luisa Schmidt, Ruxandra-Maria Zotta, Wouter Dorigo, and Marta Yebra
Hydrol. Earth Syst. Sci., 27, 39–68, https://doi.org/10.5194/hess-27-39-2023, https://doi.org/10.5194/hess-27-39-2023, 2023
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Accurate estimation for global GPP and ET is important in climate change studies. In this study, the GLASS LAI, SMOS, and SMAP datasets were assimilated jointly and separately in a coupled model. The results show that the performance of joint assimilation for GPP and ET is better than that of separate assimilation. The joint assimilation in water-limited regions performed better than in humid regions, and the global assimilation results had higher accuracy than other products.
Peng Zhu and Jennifer Burney
Hydrol. Earth Syst. Sci., 26, 827–840, https://doi.org/10.5194/hess-26-827-2022, https://doi.org/10.5194/hess-26-827-2022, 2022
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Satellite data were used to disentangle water and heat stress alleviation due to irrigation. Our findings are as follows. (1) Irrigation-induced cooling was captured by satellite LST but air temperature failed. (2) Irrigation extended maize growing season duration, especially during grain filling. (3) Water and heat stress alleviation constitutes 65 % and 35 % of the irrigation benefit. (4) The crop model simulating canopy temperature better captures the irrigation benefit.
Bonan Li and Stephen P. Good
Hydrol. Earth Syst. Sci., 25, 5029–5045, https://doi.org/10.5194/hess-25-5029-2021, https://doi.org/10.5194/hess-25-5029-2021, 2021
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We found that satellite retrieved soil moisture has large uncertainty, with uncertainty caused by the algorithm being closely related to the satellite soil moisture quality. The information provided by the two main inputs is mainly redundant. Such redundant components and synergy components provided by two main inputs to the satellite soil moisture are related to how the satellite algorithm performs. The satellite remote sensing algorithms may be improved by performing such analysis.
Hailong Wang, Kai Duan, Bingjun Liu, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 25, 4741–4758, https://doi.org/10.5194/hess-25-4741-2021, https://doi.org/10.5194/hess-25-4741-2021, 2021
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Using remote sensing and reanalysis data, we examined the relationships between vegetation development and water resource availability in a humid subtropical basin. We found overall increases in total water storage and surface greenness and vegetation production, and the changes were particularly profound in cropland-dominated regions. Correlation analysis implies water availability leads the variations in greenness and production, and irrigation may improve production during dry periods.
David N. Dralle, W. Jesse Hahm, K. Dana Chadwick, Erica McCormick, and Daniella M. Rempe
Hydrol. Earth Syst. Sci., 25, 2861–2867, https://doi.org/10.5194/hess-25-2861-2021, https://doi.org/10.5194/hess-25-2861-2021, 2021
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Root zone water storage capacity determines how much water can be stored belowground to support plants during periods without precipitation. Here, we develop a satellite remote sensing method to estimate this key variable at large scales that matter for management. Importantly, our method builds on previous approaches by accounting for snowpack, which may bias estimates from existing approaches. Ultimately, our method will improve large-scale understanding of plant access to subsurface water.
María P. González-Dugo, Xuelong Chen, Ana Andreu, Elisabet Carpintero, Pedro J. Gómez-Giraldez, Arnaud Carrara, and Zhongbo Su
Hydrol. Earth Syst. Sci., 25, 755–768, https://doi.org/10.5194/hess-25-755-2021, https://doi.org/10.5194/hess-25-755-2021, 2021
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Drought is a devastating natural hazard and difficult to define, detect and quantify. Global meteorological data and remote-sensing products present new opportunities to characterize drought in an objective way. In this paper, we applied the surface energy balance model SEBS to estimate monthly evapotranspiration (ET) from 2001 to 2018 over the dehesa area of the Iberian Peninsula. ET anomalies were used to identify the main drought events and analyze their impacts on dehesa vegetation.
Sheng Wang, Monica Garcia, Andreas Ibrom, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 24, 3643–3661, https://doi.org/10.5194/hess-24-3643-2020, https://doi.org/10.5194/hess-24-3643-2020, 2020
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Remote sensing only provides snapshots of rapidly changing land surface variables; this limits its application for water resources and ecosystem management. To obtain continuous estimates of surface temperature, soil moisture, evapotranspiration, and ecosystem productivity, a simple and operational modelling scheme is presented. We demonstrate it with temporally sparse optical and thermal remote sensing data from an unmanned aerial system at a Danish bioenergy plantation eddy covariance site.
Jacob S. Diamond, Daniel L. McLaughlin, Robert A. Slesak, and Atticus Stovall
Hydrol. Earth Syst. Sci., 23, 5069–5088, https://doi.org/10.5194/hess-23-5069-2019, https://doi.org/10.5194/hess-23-5069-2019, 2019
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We found evidence for spatial patterning of soil elevation in forested wetlands that was well explained by hydrology. The patterns that we found were strongest at wetter sites, and were weakest at drier sites. When a site was wet, soil elevations typically only belonged to two groups: tall "hummocks" and low "hollows. The tall, hummock groups were spaced equally apart from each other and were a similar size. We believe this is evidence for a biota–hydrology feedback that creates hummocks.
John O'Connor, Maria J. Santos, Karin T. Rebel, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 23, 3917–3931, https://doi.org/10.5194/hess-23-3917-2019, https://doi.org/10.5194/hess-23-3917-2019, 2019
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The Amazon rainforest has undergone extensive land use change, which greatly reduces the rate of evapotranspiration. Forest with deep roots is replaced by agriculture with shallow roots. The difference in rooting depth can greatly reduce access to water, especially during the dry season. However, large areas of the Amazon have a sufficiently shallow water table that may provide access for agriculture. We used remote sensing observations to compare the impact of deep and shallow water tables.
Anne J. Hoek van Dijke, Kaniska Mallick, Adriaan J. Teuling, Martin Schlerf, Miriam Machwitz, Sibylle K. Hassler, Theresa Blume, and Martin Herold
Hydrol. Earth Syst. Sci., 23, 2077–2091, https://doi.org/10.5194/hess-23-2077-2019, https://doi.org/10.5194/hess-23-2077-2019, 2019
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Satellite images are often used to estimate land water fluxes over a larger area. In this study, we investigate the link between a well-known vegetation index derived from satellite data and sap velocity, in a temperate forest in Luxembourg. We show that the link between the vegetation index and transpiration is not constant. Therefore we suggest that the use of vegetation indices to predict transpiration should be limited to ecosystems and scales where the link has been confirmed.
Shoubo Li, Yan Zhao, Yongping Wei, and Hang Zheng
Hydrol. Earth Syst. Sci., 21, 4233–4244, https://doi.org/10.5194/hess-21-4233-2017, https://doi.org/10.5194/hess-21-4233-2017, 2017
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This study aims to investigate the evolution of natural and crop vegetation systems over the past 2000 years accommodated with the changes in water regimes at the basin scale. It is based on remote-sensing data and previous historical research. The methods developed and the findings obtained from this study could assist in understanding how current ecosystem problems were created in the past and what their implications for future river basin management are.
A. A. Harpold, J. A. Marshall, S. W. Lyon, T. B. Barnhart, B. A. Fisher, M. Donovan, K. M. Brubaker, C. J. Crosby, N. F. Glenn, C. L. Glennie, P. B. Kirchner, N. Lam, K. D. Mankoff, J. L. McCreight, N. P. Molotch, K. N. Musselman, J. Pelletier, T. Russo, H. Sangireddy, Y. Sjöberg, T. Swetnam, and N. West
Hydrol. Earth Syst. Sci., 19, 2881–2897, https://doi.org/10.5194/hess-19-2881-2015, https://doi.org/10.5194/hess-19-2881-2015, 2015
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This review's objective is to demonstrate the transformative potential of lidar by critically assessing both challenges and opportunities for transdisciplinary lidar applications in geomorphology, hydrology, and ecology. We find that using lidar to its full potential will require numerous advances, including more powerful open-source processing tools, new lidar acquisition technologies, and improved integration with physically based models and complementary observations.
Y. Wang, M. L. Roderick, Y. Shen, and F. Sun
Hydrol. Earth Syst. Sci., 18, 3499–3509, https://doi.org/10.5194/hess-18-3499-2014, https://doi.org/10.5194/hess-18-3499-2014, 2014
Y. Liu, Y. Zhou, W. Ju, J. Chen, S. Wang, H. He, H. Wang, D. Guan, F. Zhao, Y. Li, and Y. Hao
Hydrol. Earth Syst. Sci., 17, 4957–4980, https://doi.org/10.5194/hess-17-4957-2013, https://doi.org/10.5194/hess-17-4957-2013, 2013
M. Gokmen, Z. Vekerdy, W. Verhoef, and O. Batelaan
Hydrol. Earth Syst. Sci., 17, 3779–3794, https://doi.org/10.5194/hess-17-3779-2013, https://doi.org/10.5194/hess-17-3779-2013, 2013
H. Liu, F. Tian, H. C. Hu, H. P. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 17, 805–815, https://doi.org/10.5194/hess-17-805-2013, https://doi.org/10.5194/hess-17-805-2013, 2013
T. S. Ahring and D. R. Steward
Hydrol. Earth Syst. Sci., 16, 4133–4142, https://doi.org/10.5194/hess-16-4133-2012, https://doi.org/10.5194/hess-16-4133-2012, 2012
D. Fernández, J. Barquín, M. Álvarez-Cabria, and F. J. Peñas
Hydrol. Earth Syst. Sci., 16, 3851–3862, https://doi.org/10.5194/hess-16-3851-2012, https://doi.org/10.5194/hess-16-3851-2012, 2012
P. Sun, Z. Yu, S. Liu, X. Wei, J. Wang, N. Zegre, and N. Liu
Hydrol. Earth Syst. Sci., 16, 3835–3850, https://doi.org/10.5194/hess-16-3835-2012, https://doi.org/10.5194/hess-16-3835-2012, 2012
M. Otto, D. Scherer, and J. Richters
Hydrol. Earth Syst. Sci., 15, 1713–1727, https://doi.org/10.5194/hess-15-1713-2011, https://doi.org/10.5194/hess-15-1713-2011, 2011
C. Cammalleri, M. C. Anderson, G. Ciraolo, G. D'Urso, W. P. Kustas, G. La Loggia, and M. Minacapilli
Hydrol. Earth Syst. Sci., 14, 2643–2659, https://doi.org/10.5194/hess-14-2643-2010, https://doi.org/10.5194/hess-14-2643-2010, 2010
E. Teferi, S. Uhlenbrook, W. Bewket, J. Wenninger, and B. Simane
Hydrol. Earth Syst. Sci., 14, 2415–2428, https://doi.org/10.5194/hess-14-2415-2010, https://doi.org/10.5194/hess-14-2415-2010, 2010
Cited articles
Abbaspour, K.: User manual for SWAT-CUP, SWAT calibration and uncertainty analysis programs, Swiss Federal Institute of Aquatic Science and Technology, Eawag, Duebendorf, Switzerland, 2007.
Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., and Srinivasan, R.: Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT, J. Hydrol., 333, 413–430, 2007.
Abtew, W. and Melesse, A.: Climate change and evapotranspiration, in: Evaporation and Evapotranspiration, Springer, Dordrecht, 197–202, 2013.
Allen, R. G., Clemmens, A. J., Burt, C. M., Solomon, K., and O'Halloran, T.: Prediction accuracy for projectwide evapotranspiration using crop coefficients and reference evapotranspiration, J. Irrig. Drain. Eng., 131, 24–36, 2005.
Allen, R. G., Pruitt, W. O., Wright, J. L., Howell, T. A., Ventura, F., Snyder, R., Itenfisu, D., Steduto, P., Berengena, J., and Yrisarry, J. B.: A recommendation on standardized surface resistance for hourly calculation of reference ET o by the FAO56 Penman-Monteith method, Agr. Water Manage., 81, 1–22, 2006.
Allen, R. G., Pereira, L. S., Howell, T. A., and Jensen, M. E.: Evapotranspiration information reporting: I. Factors governing measurement accuracy, Agr. Water Manage., 98, 899–920, 2011.
Anderson, M. C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J. R., and Kustas, W. P.: Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States, J. Climate, 24, 2025–2044, 2011.
Baldocchi, D. D.: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Glob. Change Biol., 9, 479–492, 2003.
Benyon, R. G., Theiveyanathan, S., and Doody, T. M.: Impacts of tree plantations on groundwater in south-eastern Australia, Aust. J. Bot., 54, 181–192, 2006.
Boé, J. and Terray, L.: Uncertainties in summer evapotranspiration changes over Europe and implications for regional climate change, Geophys. Res. Lett., 35, L05702, https://doi.org/10.1029/2007GL032417, 2008.
Brotzge, J. A. and Crawford, K. C.: Examination of the surface energy budget: A comparison of eddy correlation and Bowen ratio measurement systems, J. Hydrometeorol., 4, 160–178, 2003.
Chen, Y., Xia, J., Liang, S., Feng, J., Fisher, J. B., Li, X., Li, X., Liu, S., Ma, Z., and Miyata, A.: Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China, Remote Sens. Environ., 140, 279–293, 2014.
Cleugh, H. A., Leuning, R., Mu, Q., and Running, S. W.: Regional evaporation estimates from flux tower and MODIS satellite data, Remote Sens. Environ., 106, 285–304, 2007.
Cooper, D. J., Sanderson, J. S., Stannard, D. I., and Groeneveld, D. P.: Effects of long-term water table drawdown on evapotranspiration and vegetation in an arid region phreatophyte community, J. Hydrol., 325, 21–34, 2006.
Domingo, F., Villagarcıa, L., Boer, M., Alados-Arboledas, L., and Puigdefábregas, J.: Evaluating the long-term water balance of arid zone stream bed vegetation using evapotranspiration modelling and hillslope runoff measurements, J. Hydrol., 243, 17–30, 2001.
Donohue, R. J., Roderick, M. L., and McVicar, T. R.: Deriving consistent long-term vegetation information from AVHRR reflectance data using a cover-triangle-based framework, Remote Sens. Environ., 112, 2938–2949, 2008.
Dowling, T., Brooks, M., and Read, A.: Continental hydrologic assessment using the 1 second (30 m) resolution Shuttle Radar Topographic Mission DEM of Australia, 19th International Congress on Modelling and Simulation, Perth, 2011.
Drexler, J. Z., Snyder, R. L., Spano, D., Paw, U., and Tha, K.: A review of models and micrometeorological methods used to estimate wetland evapotranspiration, Hydrol. Process., 18, 2071–2101, 2004.
Ershadi, A., McCabe, M., Evans, J. P., and Walker, J. P.: Effects of spatial aggregation on the multi-scale estimation of evapotranspiration, Remote Sens. Environ., 131, 51–62, 2013.
Feigenwinter, C., Bernhofer, C., Eichelmann, U., Heinesch, B., Hertel, M., Janous, D., Kolle, O., Lagergren, F., Lindroth, A., and Minerbi, S.: Comparison of horizontal and vertical advective CO2 fluxes at three forest sites, Agr. Forest Meteorol., 148, 12–24, 2008.
Fernandes, L. C., Paiva, C. M., and Rotunno Filho, O. C.: Evaluation of six empirical evapotranspiration equations-case study: Campos dos Goytacazes/RJ, Revista Brasileira de Meteorologia, 27, 272–280, 2012.
Fisher, J. B., Tu, K. P., and Baldocchi, D. D.: Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites, Remote Sens. Environ., 112, 901–919, 2008.
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., and Huang, X.: MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets, Remote Sens. Environ., 114, 168–182, 2010.
Gallant, J. C., Dowling, T. I., Read, A. M., Wilson, N., Tickle, P., and Inskeep, C.: 1-second srtm-derived digital elevation models user guide, Geoscience Australia, Canberra, available at: www.ga.gov.au/topographic-mapping/digital-elevation-data.html (last access: 7 May 2018), 2011.
Galván, L., Olías, M., Izquierdo, T., Cerón, J., and de Villarán, R. F.: Rainfall estimation in SWAT: An alternative method to simulate orographic precipitation, J. Hydrol., 509, 257–265, 2014.
Gao, Y. and Long, D.: Intercomparison of remote sensing-based models for estimation of evapotranspiration and accuracy assessment based on SWAT, Hydrol. Process., 22, 4850–4869, 2008.
Gerges, N. Z.: The Geology & Hydrogeology of the Adelaide Metropolitan Area, PhD thesis, Faculty of Science and Engineering, Flinders University of South Australia, Adelaide, SA, 1999.
Glenn, E. P., Huete, A. R., Nagler, P. L., Hirschboeck, K. K., and Brown, P.: Integrating remote sensing and ground methods to estimate evapotranspiration, Crit. Rev. Plant Sci., 26, 139–168, 2007.
Govender, M. and Everson, C.: Modelling streamflow from two small South African experimental catchments using the SWAT model, Hydrol. Process., 19, 683–692, 2005.
Green, G. and Zulfic, D.: Summary of groundwater recharge estimates for the catchments of the Western Mount Lofty Ranges Prescribed Water Resources Area, Department of Water, Land and Biodiversity Conservation, 2008.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, 2009.
Hong, S.-H., Hendrickx, J. M., and Borchers, B.: Up-scaling of SEBAL derived evapotranspiration maps from Landsat (30 m) to MODIS (250 m) scale, J. Hydrol., 370, 122–138, 2009.
Hu, G., Jia, L., and Menenti, M.: Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011, Remote Sens. Environ., 156, 510–526, 2015.
Jeffrey, S. J., Carter, J. O., Moodie, K. B., and Beswick, A. R.: Using spatial interpolation to construct a comprehensive archive of Australian climate data, Environ. Modell. Softw., 16, 309–330, https://doi.org/10.1016/S1364-8152(01)00008-1, 2001.
Jensen, M. E., Burman, R. D., and Allen, R. G.: Evapotranspiration and irrigation water requirements, American Society of Civil Engineers, New York, 1990.
Jia, Z., Liu, S., Xu, Z., Chen, Y., and Zhu, M.: Validation of remotely sensed evapotranspiration over the Hai River Basin, China, J. Geophys. Res.-Atmos., 117, D13113, https://doi.org/10.1029/2011JD017037, 2012.
Johnston, R., Barry, S., Bleys, E., Bui, E. N., Moran, C., Simon, D., Carlile, P., McKenzie, N., Henderson, B., and Chapman, G.: ASRIS: the database, Soil Res., 41, 1021–1036, 2003.
Kalma, J. D., McVicar, T. R., and McCabe, M. F.: Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data, Surv. Geophys., 29, 421–469, 2008.
Kim, H., Hwang, K., Mu, Q., Lee, S., and Choi, M.: Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia, KSCE J. Civ. Eng., 16, 229–238, https://doi.org/10.1007/s12205-012-0006-1, 2012a.
Kim, H. W., Hwang, K., Mu, Q., Lee, S. O., and Choi, M.: Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia, KSCE J. Civ. Eng., 16, 229–238, 2012b.
Kottek, M., Grieser, J., Beck, C., Rudolf, B., and Rubel, F.: World map of the Köppen-Geiger climate classification updated, Meteorol. Z., 15, 259–263, 2006.
Larsen, M. A., Refsgaard, J. C., Jensen, K. H., Butts, M. B., Stisen, S., and Mollerup, M.: Calibration of a distributed hydrology and land surface model using energy flux measurements, Agr. Forest Meteorol., 217, 74–88, 2016.
Latham, J.: FAO land cover mapping initiatives, North America Land Cover Summit, Environment and Natural Resources Service, Food and Agriculture Organization of the United Nations (FAO), 75–95, 2009.
Liu, S., Xu, Z., Zhu, Z., Jia, Z., and Zhu, M.: Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China, J. Hydrol., 487, 24–38, 2013.
Liu, T., Liu, L., Luo, Y., and Lai, J.: Simulation of groundwater evaporation and groundwater depth using SWAT in the irrigation district with shallow water table, Environ. Earth Sci., 74, 315–324, 2015.
Long, D., Longuevergne, L., and Scanlon, B. R.: Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites, Water Resour. Res., 50, 1131–1151, 2014.
López López, P., Strohmeier, S., Haddad, M., Sutanudjaja, E., Karrou, M., Sterk, G., Schellekens, J., and Bierkens, M.: Application of earth observation products for hydrological modeling of the Oum Er Rbia river basin, EGU General Assembly Conference Abstracts, 12117, 2016.
Lymburner, L., Tan, P., Mueller, N., Thackway, R., Lewis, A., Thankappan, M., Randall, L., Islam, A., and Senarath, U.: 250 metre dynamic land cover dataset of Australia, Geoscience Australia, Canberra, 2010.
McVicar, T. R., Van Niel, T. G., Li, L. T., Roderick, M. L., Rayner, D. P., Ricciardulli, L., and Donohue, R. J.: Wind speed climatology and trends for Australia, 1975–2006: Capturing the stilling phenomenon and comparison with near-surface reanalysis output, Geophys. Res. Lett., 35, L20403, https://doi.org/10.1029/2008GL035627, 2008.
Melesse, A. M., Abtew, W., and Dessalegne, T.: Evaporation estimation of Rift Valley Lakes: comparison of models, Sensors, 9, 9603–9615, 2009.
Moran, M. S. and Jackson, R. D.: Assessing the spatial distribution of evapotranspiration using remotely sensed inputs, J. Environ. Qual., 20, 725–737, 1991.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L.: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, T. ASABE, 50, 885–900, 2007.
Mu, Q., Heinsch, F. A., Zhao, M., and Running, S. W.: Development of a global evapotranspiration algorithm based on MODIS and global meteorology data, Remote Sens. Environ., 111, 519–536, https://doi.org/10.1016/j.rse.2007.04.015, 2007.
Mu, Q., Zhao, M., and Running, S. W.: Improvements to a MODIS global terrestrial evapotranspiration algorithm, Remote Sens. Environ., 115, 1781–1800, https://doi.org/10.1016/j.rse.2011.02.019, 2011.
Mu, Q., Zhao, M., and Running, S. W.: MODIS Global Terrestrial Evapotranspiration (ET) Product (NASA MOD16A2/A3), Algorithm Theoretical Basis Document, Collection, 5, 2013.
Nachabe, M., Shah, N., Ross, M., and Vomacka, J.: Evapotranspiration of two vegetation covers in a shallow water table environment, Soil Sci. Soc. Am. J., 69, 492–499, 2005.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models part I – A discussion of principles, J. Hydrol., 10, 282–290, 1970.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., and Williams, J. R.: Soil and water assessment tool theoretical documentation version 2009, Grassland, Soil and Water Research Laboratory and Black land Research Center, Texas, 2011.
Penman, H. L.: Natural evaporation from open water, bare soil and grass, P. R. Soc. Lond. A, 193, 120–145, 1948.
Pradhanang, S. M., Anandhi, A., Mukundan, R., Zion, M. S., Pierson, D. C., Schneiderman, E. M., Matonse, A., and Frei, A.: Application of SWAT model to assess snowpack development and streamflow in the Cannonsville watershed, New York, USA, Hydrol. Process., 25, 3268–3277, 2011.
Qiao, L., Herrmann, R. B., and Pan, Z.: Parameter uncertainty reduction for SWAT using GRACE, streamflow, and groundwater table data for Lower Missouri River Basin, J. Am. Water Resour. As., 49, 343–358, 2013.
Rana, G. and Katerji, N.: Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate: a review, Eur. J. Agron., 13, 125–153, 2000.
Raz-Yaseef, N., Yakir, D., Schiller, G., and Cohen, S.: Dynamics of evapotranspiration partitioning in a semi-arid forest as affected by temporal rainfall patterns, Agr. Forest Meteorol., 157, 77–85, 2012.
Ruhoff, A. L., Paz, A. R., Aragao, L. E. O. C., Mu, Q., Malhi, Y., Collischonn, W., Rocha, H. R., and Running, S. W.: Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin, Hydrolog. Sci. J., 58, 1658–1676, https://doi.org/10.1080/02626667.2013.837578, 2013.
Schuol, J., Abbaspour, K. C., Srinivasan, R., and Yang, H.: Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model, J. Hydrol., 352, 30–49, 2008.
Scott, R. L., Cable, W. L., Huxman, T. E., Nagler, P. L., Hernandez, M., and Goodrich, D. C.: Multiyear riparian evapotranspiration and groundwater use for a semiarid watershed, J. Arid Environ., 72, 1232–1246, 2008.
Sinclair, R.: Water potential and stomatal conductance of three Eucalyptus species in the Mount Lofty Ranges, South Australia: responses to summer drought, Aust. J. Bot., 28.6, 499–510, 1980.
Sun, F., Roderick, M. L., Farquhar, G. D., Lim, W. H., Zhang, Y., Bennett, N., and Roxburgh, S. H.: Partitioning the variance between space and time, Geophys. Res. Lett., 37, L12704, https://doi.org/10.1029/2010GL043323, 2010.
Sun, Z., Wang, Q., Matsushita, B., Fukushima, T., Ouyang, Z., and Watanabe, M.: Development of a simple remote sensing evapotranspiration model (Sim-ReSET): algorithm and model test, J. Hydrol., 376, 476–485, 2009.
Syed, K. H., Goodrich, D. C., Myers, D. E., and Sorooshian, S.: Spatial characteristics of thunderstorm rainfall fields and their relation to runoff, J. Hydrol., 271, 1–21, 2003.
Tabari, H., Grismer, M. E., and Trajkovic, S.: Comparative analysis of 31 reference evapotranspiration methods under humid conditions, Irrigation Sci., 31, 107–117, 2013.
Thornton, P. E.: Regional ecosystem simulation: combining surface- and satellite-based observations to study linkages between terrestrial energy and mass budgets, PhD Dissertation, School of Forestry, The University of Montana, Missoula, MT, 280 pp., 1998.
Tobin, K. J. and Bennett, M. E.: Constraining SWAT Calibration with Remotely Sensed Evapotranspiration Data, J. Am. Water Resour. As., 53, 593–604, 2017.
Trambauer, P., Dutra, E., Maskey, S., Werner, M., Pappenberger, F., van Beek, L. P. H., and Uhlenbrook, S.: Comparison of different evaporation estimates over the African continent, Hydrol. Earth Syst. Sci., 18, 193–212, https://doi.org/10.5194/hess-18-193-2014, 2014.
Velpuri, N. M., Senay, G. B., Singh, R. K., Bohms, S., and Verdin, J. P.: A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET, Remote Sens. Environ., 139, 35–49, 2013.
Verstraeten, W. W., Veroustraete, F., and Feyen, J.: Assessment of evapotranspiration and soil moisture content across different scales of observation, Sensors, 8, 70–117, 2008.
Viney, N. R., Vaze, J., Vleeshouwer, J., Yang, A., Van Dijk, A., and Frost, A.: The AWRA modelling system, Hydrology and Water Resources Symposium 2014, Engineers Australia, p. 1018, 2014.
Vinukollu, R. K., Wood, E. F., Ferguson, C. R., and Fisher, J. B.: Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches, Remote Sens. Environ., 115, 801–823, 2011.
Webster, E., Ramp, D., and Kingsford, R. T.: Incorporating an iterative energy restraint for the Surface Energy Balance System (SEBS), Remote Sens. Environ., 198, 267–285, 2017.
Wilson, J. L. and Guan, H.: Mountain-Block Hydrology and Mountain-Front Recharge, in: Groundwater Recharge in a Desert Environment: The Southwestern United States, American Geophysical Union, 113–137, 2004.
Wilson, K., Goldstein, A., Falge, E., Aubinet, M., Baldocchi, D., Berbigier, P., Bernhofer, C., Ceulemans, R., Dolman, H., and Field, C.: Energy balance closure at FLUXNET sites, Agr. Forest Meteorol., 113, 223–243, 2002.
Wilson, K. B., Hanson, P. J., Mulholland, P. J., Baldocchi, D. D., and Wullschleger, S. D.: A comparison of methods for determining forest evapotranspiration and its components: sap-flow, soil water budget, eddy covariance and catchment water balance, Agr. Forest Meteorol., 106, 153–168, 2001.
Yang, X., Liu, Q., He, Y., Luo, X., and Zhang, X.: Comparison of daily and sub-daily SWAT models for daily streamflow simulation in the Upper Huai River Basin of China, Stoch. Env. Res. Risk A., 30, 959–972, 2016.
Zhang, B., Kang, S., Li, F., and Zhang, L.: Comparison of three evapotranspiration models to Bowen ratio-energy balance method for a vineyard in an arid desert region of northwest China, Agr. Forest Meteorol., 148, 1629–1640, 2008.
Zhang, K., Kimball, J. S., and Running, S. W.: A review of remote sensing based actual evapotranspiration estimation, Wiley Interdisciplinary Reviews: Water, 3, 834–853, 2016.
Zhang, X., Srinivasan, R., Debele, B., and Hao, F.: Runoff simulation of the headwaters of the Yellow River using the SWAT model with three snowmelt algorithms, J. Am. Water Resour. As., 44, 48–61, 2008.
Zhao, L., Xia, J., Xu, C.-Y., Wang, Z., Sobkowiak, L., and Long, C.: Evapotranspiration estimation methods in hydrological models, J. Geogr. Sci., 23, 359–369, 2013.
Short summary
In recent decades, evapotranspiration estimation has been improved by remote sensing methods as well as by hydrological models. However, comparing these methods shows differences of up to 31 % at a spatial resolution of 1 km2. Land cover differences and catchment averaged climate data in the hydrological model were identified as the principal causes of the differences in results. The implication is that water management will have to deal with large uncertainty in estimated water balances.
In recent decades, evapotranspiration estimation has been improved by remote sensing methods as...
